PO Toolkit · Tool #1 of 13

Write user stories
in seconds

Describe a feature and get structured user stories in Classic and Gherkin format — complete with acceptance criteria. Push directly to Jira with one click.

Jira integrationClassic & Gherkin formatCSV export20 min → 2 min per feature
✨ Try with sample dataUse your own data

No login required · No data stored · Free forever

What you get

Classic and Gherkin format, generated simultaneously

Classic format

As a new user, I want to complete onboarding in under 5 steps so that I can start using the product without friction.

Acceptance criteria

  • ✓User sees a progress indicator showing current step out of total steps
  • ✓User can skip optional steps and complete them later from the profile page
  • ✓Completion triggers a welcome email within 60 seconds
Medium · 5 ptsOnboarding
Gherkin format

Feature:

Streamlined user onboarding

Scenario:

New user completes onboarding

Given I am a new user on the platform

When I follow the onboarding flow

Then I complete setup in 5 steps or fewer

And I receive a welcome email within 60s

And I can skip optional steps

Both formats generated from the same input · Ready to copy or push to Jira

How it works

Three steps from idea to Jira-ready story

01

Describe your feature

Enter the feature title, user persona, main goal, and expected benefit. Or paste a sentence and let AI parse it for you.

02

Choose complexity

Select Simple (2 stories), Moderate (3), or Complex (5). The engine generates complete stories for each level.

03

Export or push to Jira

Copy each story individually, export all as CSV, or push directly to your Jira project with one click.

Roadmap

What's coming next to this tool

PlannedConsidering

Rich input

Image drop (wireframe / screenshot)

Planned

Drag a mockup or screenshot — AI extracts requirements and fills the form automatically.

PDF / TXT drop

Planned

Drop a PRD, brief, or requirements doc and generate a full batch of stories from it.

Figma / Notion URL

Considering

Paste a Figma frame or Notion page URL and let the tool parse it as context.

Export & integrations

Excel export

Planned

Export stories as a formatted spreadsheet with ID, title, acceptance criteria, priority, and points.

Azure DevOps

Planned

Push stories directly to Azure DevOps Work Items, same as the Jira integration.

Markdown export

Planned

Copy stories as Markdown ready to paste in GitHub / GitLab Issues or Confluence.

Copy all at once

Planned

Single button to copy all generated stories to the clipboard in one action.

Story management

Inline editing

Planned

Edit any generated story directly in the card before exporting or pushing to Jira.

Drag to reorder

Considering

Reorder stories by priority using drag and drop before exporting.

Select & export

Planned

Mark stories as included or discarded and export only the ones you want.

Generate more

Planned

Add extra stories to an existing set without re-filling the entire form.

AI improvements

Conflict detection

Considering

AI flags overlaps or contradictions across the generated stories before you export.

Story point estimation

Considering

Suggest Fibonacci points based on the complexity of each acceptance criterion.

Refinement mode

Planned

Paste an existing poorly written story and get a rewritten, structured version back.

Batch & sessions

Batch mode

Considering

Process multiple features at once — input a list and generate all stories in one run.

CSV feature import

Planned

Upload a CSV of features and generate a full story map in bulk.

Session history

Considering

Save and revisit previous generation sessions locally, no backend required.

Why I built this

Problem

Writing well-structured user stories manually is slow (20+ min/feature) and output quality varies by author.

Solution

A template engine that generates Classic + Gherkin stories from structured inputs, with direct Jira export via API.

Impact

Reduces story writing from ~20 min to under 2 min per feature, with consistent quality and format every time.